基于多尺度小波能谱分析的煤储层含气性评价  

Evaluation of the Gas-Bearing Property of Coal Reservoirs Based on Multiscale Wavelet Energy Spectrum Analysis

作　　者：漆俐红 关文政 QI Lihong;GUAN Wenzheng(Wuhan Campus of Yangtze University,Wuhan,Hubei Province,430100 China)

机构地区：[1]长江大学武汉校区,湖北武汉430100

出　　处：《科技资讯》2024年第11期195-197,共3页Science & Technology Information

摘　　要：煤储层含气量是评价煤储层含气性的重要参数之一,采用常规的测井方法很难直接获取准确的含气量。研究首次提出依据不同含气量煤储层的测井响应在小波能谱特征上的差异,通过对密度、声波时差等曲线进行多尺度小波能谱分析,建立小波能谱特征与含气等级之间的对应关系,并以此为依据对其他煤储层含气等级进行判别。实例分析结果表明:采用该方法能够有效提高煤储层含气等级判别的准确性。The gas content of coal reservoirs is one of the important parameters to evaluate the gas-bearing prop⁃erty of coal reservoirs,and it is difficult to obtain accurate gas content directly with the conventional logging method.According to the difference in the wavelet energy spectral characteristics of the logging response of coal res⁃ervoirs with different gas contents,through the multiscale wavelet energy spectrum analysis of curves such as density andacoustic time difference,this study first proposes to establish the correspondence between the wavelet energy spectral characteristic and the gas-bearing grade,and is based on this to identify the gas-bearing grade of other coal reservoirs.The results of case studies show that this method can effectively improve the precision of the identifica⁃tion of the gas-bearing grade of coal reservoirs.

关 键 词：煤层气 多尺度小波能谱分析 含气量 测井曲线 

分 类 号：P631[天文地球—地质矿产勘探]